Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio -0.694 Tracking Error 0.122 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
# HH and LL in first 45 minute # ---------------------------- SYMBOLS = ["XLE","XLP","XLK"]; # ---------------------------- class CryingGreenDolphin(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 3, 15) self.SetEndDate(2022, 3, 16) self.SetCash(10000000) self.symbols = [self.AddEquity(ticker, Resolution.Minute).Symbol for ticker in SYMBOLS] self.maxPrices45 = {} self.minPrices45 = {} for x in self.symbols: self.maxPrices45[x] = self.MAX(x, 45, Resolution.Minute, Field.High) self.minPrices45[x] = self.MIN(x, 45, Resolution.Minute, Field.Low) self.Schedule.On(self.DateRules.EveryDay(self.symbols[0]), self.TimeRules.AfterMarketOpen(self.symbols[0], 45), self.trade) def trade(self): for sec in self.symbols: self.Plot(sec, 'max45', self.maxPrices45[sec].Current.Value) self.Plot(sec, 'min45', self.minPrices45[sec].Current.Value)